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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

An integrated decomposition algorithm based bidirectional LSTM neural network approach for predicting ocean wave height and ocean wave energy
Karan Sareen, Bijaya Ketan Panigrahi, Tushar Shikhola, et al.
Ocean Engineering (2023) Vol. 281, pp. 114852-114852
Closed Access | Times Cited: 17

Showing 17 citing articles:

Sustainable energy transition in cities: A deep statistical prediction model for renewable energy sources management for low-carbon urban development
Haicui Wang, Chi Pang Wen, Lunliang Duan, et al.
Sustainable Cities and Society (2024) Vol. 107, pp. 105434-105434
Closed Access | Times Cited: 14
Wave energy forecasting: A state-of-the-art survey and a comprehensive evaluation
Ruobin Gao, Xiaocai Zhang, Maohan Liang, et al.
Applied Soft Computing (2025) Vol. 170, pp. 112652-112652
Closed Access | Times Cited: 1
A short-term wave energy forecasting model using two-layer decomposition and LSTM-attention
Yihang Yang, Lu Han, Cunyong Qiu, et al.
Ocean Engineering (2024) Vol. 299, pp. 117279-117279
Closed Access | Times Cited: 7
A transformer-based architecture for wave height forecasting within rectangular moonpool and its generalization performance study
Xu Wang, Ning Ma, Xiechong Gu, et al.
Ocean Engineering (2025) Vol. 320, pp. 120313-120313
Closed Access
Prediction Model for Newly-Added Sensors to Ocean Buoys: Leveraging Adversarial Loss and Deep Residual LSTM Architecture
Qiguang Zhu, Zhen Shen, Wenjing Qiao, et al.
Digital Signal Processing (2025), pp. 105126-105126
Closed Access
A two channel optimized SWH deep learning forecast model coupled with dimensionality reduction scheme and attention mechanism
Ying Han, Ruihan Zhao, Fengjie Wu, et al.
Ocean Engineering (2025) Vol. 330, pp. 121217-121217
Closed Access
Solving the temporal lags in local significant wave height prediction with a new VMD-LSTM model
Shaotong Zhang, Zixi Zhao, Jinran Wu, et al.
Ocean Engineering (2024) Vol. 313, pp. 119385-119385
Closed Access | Times Cited: 3
Research on Prediction of Marine Dissolved Oxygen Concentration Based on Modal Decomposition
Yan Liu, Yupeng Zhao, F. Liu, et al.
Lecture notes in civil engineering (2025), pp. 361-376
Closed Access
Assessing the impact of marine renewable energy in Portugal: an analysis based on ACO-TCN-attention
Haoyan Song, Jingran Gao
Frontiers in Energy Research (2024) Vol. 12
Open Access
Wave Energy Prediction Based on Hybrid Frameworks Integrated with Vmd Quadratic Decomposition
Jianhui Wang, Ruirong Yang, Zhendong Cui
(2024)
Closed Access
Auxiliary decision-making method for automatic operation duty scheduling of main network based on bidirectional LSTM neural network
Bo Zhou, Chao Hu, Zhangguo Chen
(2024), pp. 79-82
Closed Access
Forecasting mooring tension of offshore platforms based on complete ensemble empirical mode decomposition with adaptive noise and deep learning network
Yang Chen, Lihao Yuan, Yingfei Zan, et al.
Measurement (2024) Vol. 239, pp. 115515-115515
Closed Access
Su Dalga Enerjisi Üretimi ve Yapay Zekâ: Türkiye’nin Dünyadaki Yeri
Selma Kaymaz, Tuğrul Bayraktar, Çağrı Sel
Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi (2024) Vol. 29, Iss. 2, pp. 798-822
Open Access
Intelligent hybrid deep learning models for enhanced shipboard solar irradiance prediction and charging station
Sudharshan Konduru, C. Naveen
Renewable Energy (2024) Vol. 235, pp. 121281-121281
Closed Access
Estimation of the water level variations in the 2022 Tonga tsunami event based on multiple machine learning models
Diwen Tang, Haijiang Liu
Ocean Engineering (2024) Vol. 312, pp. 119240-119240
Closed Access
Field observations and long short-term memory modeling of spectral wave evolution at living shorelines in Chesapeake Bay, USA
Nan Wang, Qin Chen, Hongqing Wang, et al.
Applied Ocean Research (2023) Vol. 141, pp. 103782-103782
Closed Access | Times Cited: 1
Ocean Wave Height Forecasting using Deep Learning Neural Networks and Optimization Techniques
M.Lohitha Chowdary, P. Premsai, M. Dasharna, et al.
2019 Innovations in Power and Advanced Computing Technologies (i-PACT) (2023), pp. 1-8
Closed Access
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